Multi-Timescale Resource Reservation and Allocation Through Meta Distribution for Network Operators to Enable eMBB and URLLC Coexistence

We study the problem of resource reservation and allocation (RRA), aiming to enable network operators (NOs) to effectively develop the coexistence of enhanced mobile broadband (eMBB) and ultra-reliable low-latency (URLLC) services by acquiring resources–such as spectrum, base stations (BSs), and transmit power of the BSs–from the infrastructure provider (InP). To do this, we quantitatively analyze the impact of spatial-temporal aspects of the network, including the spatial distributions of users and BSs, wireless channel conditions, and user traffic statistics, on resources required to meet users’ requirements using the meta distribution. Since spatial-temporal aspects operate on different time and space scales, we investigate a multi-timescale RRA (MT-RRA) scheme that facilitates collaboration between the InP and NOs to acquire resources through long-timescale RR (LT-RR) over the spatial distributions of users and user traffic statistics and medium-timescale RR (MT-RR) over wireless channel fading. Subsequently, NOs allocate these resources to their eMBB and URLLC users over shorter timescales. To address these problems, an iterative decomposition method is proposed. The MT-RRA scheme leverages the flexibility of the MT-RR, the cost-effectiveness of the LT-RR, and the benefits of spatial-temporal considerations. The simulation results are presented to demonstrate the performance of the proposed MT-RRA scheme and highlight its superiority over single-timescale RRA schemes.